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We are seeking a Senior Software Engineer with a mix of talent in areas related to full-stack development. As part of our team, you will provide next-gen algorithm development, legacy software support, and web development services. Our ideal candidate would possess a broad range of skills as our scope of work spans various technologies, including C++, Python, JavaScript, React, Angular, and others. Altamira Technologies Corporation encourages independent problem-solving and provides deep reach-back support and a collaborative environment for our engineering team. We are looking for candidates who have experience with developing and are not afraid to adapt to the right architecture, languages, and libraries to build the best systems for the mission and deliver the best user experience.
Job Responsibility:
Produce software based on desired functionality provided by users and analysts
Interpret mission needs and requirements to produce user-friendly software systems
Leverage continuous integration to create sustainable and maintainable software
Interact with teammates and users through whiteboard sessions and/or design documents to establish circular feedback
Requirements:
Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, or Aerospace Engineering
Strong working knowledge of C++
TS/SCI clearance
Self-motivated and eager to work intently to satisfy mission requirements
Ability to independently dig into problems, uncover the root cause, and create a solution
Adaptable and has the desire to maintain our company culture
Ability to effectively communicate in both verbal and written communications
Ability to multitask and adjust priorities as needed
Minimum of 10 years experience with Software Engineering
Nice to have:
Background in High Frequency Line-of-Sight (LOS) or Bistatic Radar
Experience with Artificial Intelligence/Machine Learning technologies, such as Tensorflow, PyTorch, LangChain, vLLM, PyTorch Lightning, SK Learn, LibreChat, Streamlit, KubeFlow, MLFlow, Bedrock, Fast API, Tune, Ray Train, Safe Tensors, and/or ONNX